{"id":"W4313475489","doi":"10.3390/buildings13010008","title":"Low-Sloped Rooftop Storm-Water Detention Assembly to Mitigate Urban Flooding","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; National Research Council Canada","funders":"Infrastructure Canada","keywords":"Flooding (psychology); Storm; Environmental science; Stormwater; Roof; Drainage; Civil engineering; Drainage system (geomorphology); Hydrology (agriculture); Engineering; Meteorology; Surface runoff; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005209258,0.0003105104,0.0001584927,0.0006944835,0.0006730336,0.0007935465,0.0007840942,0.0003077709,0.00580775],"category_scores_gemma":[0.001059431,0.0001647239,0.0002351928,0.0004563681,0.0005209339,0.0005017366,0.0007970132,0.000379031,0.001970864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662494,"about_ca_system_score_gemma":0.003851273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03784892,"about_ca_topic_score_gemma":0.1163501,"domain_scores_codex":[0.9991398,0.00009352023,0.00002676325,0.00004248145,0.0006005742,0.00009690192],"domain_scores_gemma":[0.9989237,0.0000935132,0.00008046458,0.0001170936,0.0007012608,0.0000839226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002640721,0.0002909207,0.01466932,0.0008810018,0.00002775622,0.0003905574,0.001586712,0.05102168,0.08219457,0.04001852,0.06931288,0.739342],"study_design_scores_gemma":[0.00009286909,0.0004259805,0.02471321,0.0005679526,0.00005788306,0.0004268952,0.002008414,0.0708197,0.1050433,0.005778988,0.7899653,0.00009957945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2578671,0.001001433,0.4794273,0.001768826,0.0003661947,0.001449349,0.002675138,0.01470845,0.2407362],"genre_scores_gemma":[0.7053716,0.001225168,0.1965541,0.000402558,0.0000320215,0.0003535249,0.002291422,0.001054667,0.09271494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03784892,"threshold_uncertainty_score":0.07525724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938067274516367,"score_gpt":0.204539725473652,"score_spread":0.1951590527284884,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}